摘要
采用“结合强度指纹图谱分析”方法,通过对多重分子对接得到的作用强度数据进行聚类矩阵分析对蛋白质进行功能分类.着重研究了磷脂酶A2家族基于抑制剂作用强度的功能分类,并且与基于序列的聚类结果进行比较,成功地解决了序列比对方法不能处理的远源蛋白(cPLA2)的分类问题.
The affinity fingerprint method was used to functionally classify proteins based on the binding data matrix produced by multiple-docking. The method has been applied to the classification of phospholipase A2 enzymes. Though many of the classifications are similar to those from sequence alignment, the human cPLA2 was successfully grouped with bee PLA2 based on the binding site similarity, which can not be handled by sequence alignment due to cPLA2＇s low homology with other PLA2s.
出处
《物理化学学报》
SCIE
CAS
CSCD
北大核心
2005年第10期1143-1145,共3页
Acta Physico-Chimica Sinica
基金
国家科技部资助项目
国家然科学基金(20173001
20228306
90403001
30490240)资助项目~~
关键词
指纹图谱
多重分子对接
功能性蛋白质分类
Affinity fingerprint, Multiple docking, Function-based protein classification
